Results 51 to 60 of about 47,739 (311)
Decoding Spatial Heterogeneity and Multi‐Omics Regulation with Hierarchical Graph Learning
Advanced Science, EarlyView.ABSTRACT Recent advances in spatial multi‐omics technologies have enabled the simultaneous profiling of multiple molecular layers within the same tissue slice, providing unprecedented opportunities to investigate tissue spatial organization. However, most existing computational methods identify spatial domains in a purely data‐driven manner, rarely ...
Jiazhou Chen +6 more
wiley +1 more source
Topology‐Aware Deep Learning on Higher‐Order Structures for Drug Response Prediction
Advanced Science, EarlyView.We present TopDr, a topology‐aware deep learning framework that encodes both drugs and cell lines as multiscale simplicial complexes, capturing interactions at the 0‐, 1‐, and 2‐simplex levels. By jointly integrating local higher‐order neighborhoods and global topological structures, TopDr generates enriched representations for sensitivity prediction ...
Cong Shen +3 more
wiley +1 more source
Advanced Science, EarlyView.This review explores the convergence of artificial intelligence technologies in modeling drug–drug and drug–target interactions. By evaluating advanced feature engineering, architectural innovations, and learning paradigms reveals shared evolutionary trends and critical challenges, such as cold‐start settings and shortcut learning.
Xin Sun, Tong Wang
wiley +1 more source
Relational marketing strategy of LAZISNU to strengthen muzakki trust
Review of Islamic Social Finance and EntrepreneurshipPurpose – This study aims to analyze the relational marketing strategy of the Nahdlatul Ulama Amil Zakat, Infaq, and Sadaqah Institution (Lembaga Amil Zakat, Infak, dan Sedekah Nahdlatul Ulama, LAZISNU) Institute in strengthening muzakki trust in ...
Muhamad Masrur +4 more
doaj +1 more source
Agribusiness, EarlyView.ABSTRACT Innovation is essential for competitiveness in agribusiness facing dynamic environments. This study examines how market orientation, marketing, relational, and social capabilities influence innovation performance. Using data from 751 Spanish firms and a multi‐method approach that integrates Structural Equation Modeling (PLS‐SEM), Necessary ...
Beatriz Corchuelo Martínez‐Azúa +1 more
wiley +1 more source
Antecedents of trust in international joint ventures' (IJVS) performance in developing countries: A review of empirical evidence [PDF]
, 2011 Trust in international joint venture has received much attention for the last 20 years. This study highlights the importance of social capital in international joint ventures (IJVs) in developing countries.
Ayios, A +2 more
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Trust and Trustworthiness of Friendship Relation In Yogyakarta and Makassar
Jurnal Psikologi, 2020 Previous research conducted by the same authors found that personal attributes (benevolence, integrity, competence) and the relational attributes (closeness, support, and reciprocity) influence trust and trustworthiness.
Faturochman +2 more
doaj +1 more source
Dimensionality of trust: An analysis of the relations between propensity, trustworthiness and trust
SA Journal of Industrial Psychology, 2015 Orientation: Research concerning trust relationships on the interpersonal level, particularly when studied in dyadic relationships from the follower’s point of view, is relatively scarce. Only a few researchers have attempted to link multiple dimensions of trust in the same study.Research purpose: This study examined the dynamic interplay between trust
Heyns, Marita, Rothmann, Sebastiaan
openaire +5 more sources
EFFECTS OF TRUST AND GOVERNANCE ON RELATIONAL RISK. [PDF]
Academy of Management Journal, 1997 In transaction cost economics, foist has been treated as redundant or even misleading. This study tested the effects of governance and trust the risk perceived by agents of firms in alliances. Two dimensions of relational risk were assessed: the probability that something will go wrong and the size of the loss incurred when it does.
Nooteboom, B. +2 more
openaire +4 more sources
Harnessing Machine Learning to Understand and Design Disordered Solids
Advanced Intelligent Discovery, EarlyView.This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley +1 more source